Abstract #0735
Reproducibility of the structural connectome and other open challenges
Paulo Rodrigues 1 , Alberto Prats-Galino 2 , David Gallardo-Pujol 3 , Pablo Villoslada 4 , Carles Falcon 5 , and Vesna Prčkovska 4
1
Mint Labs S.L., Barcelona, Spain,
2
LSNA,
Facultat de Medicina, University of Barcelona,
Barcelona, Spain,
3
Dept.
of Personality, Faculty of Psychology, University of
Barcelona, Barcelona, Spain,
4
Center
for Neuroimmunology, Department of Neurosciences,
IDIBAPS, Hospital Clinic, Barcelona, Spain,
5
GIB-UB,
CIBER-BBN, Barcelona, Spain
Connectomics', studies have gained significant
importance over the last years. Especially they are
becoming popular in clinical studies where the
connectivity matrices are used to classify among
patients and healthy controls or predict the course of
the diseases (neurodegenerative diseases). In functional
connectomics, from RS-fMRI, the variability and
reproducibility has been researched. In structural
connectomics however, there are many different
approaches for acquisition, modeling and choice for
tractography algorithms and the variability of the
structural connectome has not yet been properly
investigated. These types of studies are very important
pre-requisite for using these techniques when working
with clinical data.
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